- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-1375
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Deep mixtures of unigrams for uncovering topics in textual data ; volume:31 ; number:3 ; day:3 ; month:3 ; year:2021 ; pages:1-10 ; date:4.2021
Statistics and computing ; 31, Heft 3 (3.3.2021), 1-10, 4.2021
- Urheber
-
Viroli, Cinzia
Anderlucci, Laura
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11222-020-09989-9
- URN
-
urn:nbn:de:101:1-2021041707093616435693
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:57 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Viroli, Cinzia
- Anderlucci, Laura
- SpringerLink (Online service)
Ähnliche Objekte (12)
Metadiscourse in written genres: uncovering textual and interactional aspects of texts
Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network
Uncovering developmental time and tempo using deep learning
Uncovering developmental time and tempo using deep learning
Textual fidelity and textual disregard
Fast deep mixtures of Gaussian process experts
Deep neural networks detect suicide risk from textual facebook posts
Uncovering biodegradability and biocompatibility of betaine-based deep eutectic systems
TransCode: Uncovering COVID-19 transmission patterns via deep learning
Sentiment analysis from textual data using multiple channels deep learning models
Topics-on-technology.com : new topics
Deep learning for prediction of depressive symptoms in a large textual dataset
Metadiscourse in written genres: uncovering textual and interactional aspects of texts
Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network
Uncovering developmental time and tempo using deep learning
Uncovering developmental time and tempo using deep learning
Textual fidelity and textual disregard
Fast deep mixtures of Gaussian process experts
Deep neural networks detect suicide risk from textual facebook posts
Uncovering biodegradability and biocompatibility of betaine-based deep eutectic systems
TransCode: Uncovering COVID-19 transmission patterns via deep learning
Sentiment analysis from textual data using multiple channels deep learning models
Topics-on-technology.com : new topics
Deep learning for prediction of depressive symptoms in a large textual dataset
Metadiscourse in written genres: uncovering textual and interactional aspects of texts
Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network
Uncovering developmental time and tempo using deep learning
Uncovering developmental time and tempo using deep learning
Textual fidelity and textual disregard
Fast deep mixtures of Gaussian process experts
Deep neural networks detect suicide risk from textual facebook posts
Uncovering biodegradability and biocompatibility of betaine-based deep eutectic systems
TransCode: Uncovering COVID-19 transmission patterns via deep learning
Sentiment analysis from textual data using multiple channels deep learning models
Topics-on-technology.com : new topics